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Aggregate morphological characteristic detection system and method based on 3D point cloud data

A technology of morphological characteristics and point cloud data, which is applied in the direction of testing moving fluid/granular solids, etc., can solve problems such as poor accuracy, low measurement efficiency, and complicated methods, and achieve stable detection results, high construction quality, and high accuracy. Effect

Inactive Publication Date: 2020-03-24
CHANGAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] In order to overcome the technical problems of the existing aggregate detection light requirements, complex methods, low measurement efficiency, poor precision, and inability to fully characterize the morphological characteristics of coarse aggregates, the present invention discloses an aggregate morphology based on 3D point cloud data. The feature detection system and detection method, through the binocular camera + line laser assisted positioning, continuously detect each aggregate to obtain 3D point cloud coordinate information, which is not affected by light, the test results are stable, high precision, and can be detected in large quantities. The morphological parameters of aggregates can be calculated

Method used

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  • Aggregate morphological characteristic detection system and method based on 3D point cloud data

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Embodiment 1

[0061] The aggregate morphological feature detection system based on 3D point cloud data provided by the present invention includes a sequentially connected acquisition mechanism, a processing mechanism and a display unit; the display unit is used to display and input the acquisition parameters of the set aggregate;

[0062] The collection mechanism is used to place the aggregate and collect the 3D point cloud coordinate information of the aggregate, and transmit the collected 3D point cloud coordinate information to the processing mechanism;

[0063] The processing mechanism receives the 3D point cloud coordinate information transmitted by the collection mechanism and the collection parameters input by the display unit, extracts and calculates the morphological characteristic parameters of the aggregate from the 3D point cloud coordinate information, and calculates the morphological characteristic parameters according to the collection parameters. Carry out index evaluation an...

Embodiment 2

[0074] A detection method of an aggregate morphological feature detection system based on 3D point cloud data, comprising the following steps:

[0075] 1) Place the aggregate on the linear slide module 21, and switch on the power supply of the collecting mechanism;

[0076] Specifically, multiple aggregates are placed in the checkerboard grids of the tray, and the power supply of the box body, camera light source components and linear slide module is respectively connected through the power plug and power interface;

[0077] 2) Set acquisition parameters on the display unit;

[0078] Specifically, through the detection software interface on the display unit, the hardware parameters and software parameters of the aggregate collection process are input;

[0079] Specifically, the hardware parameters in step 2) include the acquisition light position, the acquisition exposure size, and the acquisition mechanism motion parameters; the software parameters are the index parameter ev...

Embodiment 3

[0102] In this embodiment, the detection system provided by the present invention is selected for detection and index evaluation of 100 aggregates with particle diameters between 4.75-9.5 mm.

[0103] 1. Open the detection software and set the acquisition parameters on the display

[0104] (1) Hardware parameters

[0105] The exposure size is set to 200, the slide speed is set to 14m / s, the eye height is set to 400mm, and the number of frames per second is 500;

[0106] (2) Software parameters

[0107] According to the asphalt aggregate and the construction plan, the user sets the software parameters for determining the proportion of needle flake particles and the qualified range of the morphological indicators to meet the requirements of engineering applications. In this embodiment, it is listed in Table 1 and Table 2 The needle flake content, axial coefficient, convexity and edge angle parameter evaluation grade standards are input into the software parameters.

[0108] 2...

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Abstract

The invention belongs to the field of road engineering material detection equipment, and relates to an aggregate morphological characteristic detection system and method based on 3D point cloud data.The system comprises an acquisition mechanism, a processing mechanism and a display unit. The display unit is used for displaying and inputting the acquisition parameters of a set aggregate, the acquisition mechanism is used for placing the aggregate, acquiring the 3D point cloud coordinate information of the aggregate and transmitting the acquired 3D point cloud coordinate information to the processing mechanism, and the processing mechanism is used for receiving the 3D point cloud coordinate information transmitted by the acquisition mechanism and the acquisition parameters inputted by the display unit, extracting and calculating the morphological characteristic parameters of the aggregate from the 3D point cloud coordinate information, carrying out index evaluation on the morphologicalcharacteristic parameters according to the acquisition parameters, and displaying the morphological characteristic parameters through the display unit. The system and the method of the present invention can carry out 3D detection on each aggregate, are not influenced by the light, are stable in test result and high in precision, can carry out the batch detection, can evaluate and optimize the aggregate quality rapidly, and can control the construction quality effectively.

Description

technical field [0001] The invention belongs to the field of road engineering material detection equipment, and relates to a detection system and detection method for aggregate shape characteristics based on 3D point cloud data. Background technique [0002] Asphalt pavement accounts for more than 90% of my country's expressway network, and is a major structural form of high-grade highway pavement. In the asphalt mixture, the aggregate mass accounts for about 90%-95% of the mixture, and its performance significantly affects the construction quality of the asphalt pavement. However, the current research work on asphalt pavement mainly focuses on asphalt and asphalt mixture, and the research on the properties of aggregates is still not comprehensive enough. For a long time, road engineering researchers, aggregate processing industry and transportation industry management departments have not paid the necessary attention to the utilization of aggregate resources and their impa...

Claims

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Application Information

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IPC IPC(8): G01N21/85
CPCG01N21/85
Inventor 汪海年王江峰孔庆鑫冯珀楠张琛倪欣悦魏宗昊璇邵林龙王兴旺郑文华
Owner CHANGAN UNIV
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